survey_level_data.dta
respondent x building level data. 

	contains the scores assigned by each respondent to every evaluated building.

	session_id: 			correponds to the session identifier of every participant
	photo_count: 			is the number of times that a photo appeared for every survey participant.
	score: 					corresponds to the photo score assigned by each individual survey participant (scale of 1 (ugliest) to 10 (most beautiful)). 
	buildingnumberebn: 		unique identifiers for 999 buildings.  
	rX_count_picData_Y: 	is the count of photos within X meters from a building obtained from source Y. Y=2011 stands for the 2011 Panoramio vintage, 							Y=2014 stands for the 2014 Panoramio vintage, and Y=flickr stands for the 2014 Flickr vintage.  
	photo_name:				unique photo identifier 
	officialname:			official building name according to Emporis (https://www.emporis.com/).

	gender:					gender of survey participants 
							0 = non disclosed
							1 = male
							2 = female

	age: 					Age of survey participants
							0 = non disclosed
							1 = 50 and older
							2 = 40 - 50
							3 = 30 - 40
							4 = 20 - 30
							5 = under 20 

	race:					race of survey participants
							0 = Non disclosed
							1 = White, Non-hispanic 
							2 = african American 
							3 = Asian 
							4 = Hispanic
							5 = Other 


	state:					States follow FIPS denomination. 
	met:					0 = non disclosed
							1 = responded Yes to living in a metropolitan area
							2 = responded No to living in a metropolitan area

	edu:					race of survey participants
							0 = Non disclosed
							1 = High school degree
							2 = College degree of higher
							3 = Other

	anon:					0 = non disclosed
							1 = responded Yes to having posted some kind of content on the internet
							2 = responded No to having posted some kind of content on the internet							

	inc_ind_dif: 			mean difference between the maximum and minimum scores by survey participant and building. 
	inc_w_dif:				1/(1+inc_ind_dif)

For more details on the survey questions please refer to the appendix. 


building_level_data.dta

	contains the count of photos ranging from 10 to 500 meters for 206,216 buildings.

	buildingnumberebn: 		unique identifier for 206,216 buildings.
	latitude: 				latitude of building.
	longitude:		 		longitude of building.
	officialname:			official building name according to Emporis (https://www.emporis.com/). 
	rX_count_picData_Y: 	is the count of photos within X meters from a building obtained from source Y. Y=2011 stands for the 2011 Panoramio vintage, 							Y=2014 stands for the 2014 Panoramio vintage, and Y=flickr stands for the 2014 Flickr vintage. 

building_characteristics.dta

	contains the building characteristics for the 999 buildings included in the survey.

	buildingnumberebn: 		unique identifier for 206,216 buildings.
	building_height:		Height of building in meters
	building_height_2:		Height of building in meters squared
	archsty_enc:			Architectural Style of building
	building_year:			year of building
	building_year_2:		year of building squared



Data availability statement: 
Flickr data are available via the https://www.flickr.com/services/api/.
Panoramio data are no longer available after November 4, 2016

